CHI-SQUARE

• variables ng chi square

  both nominal
• generally a non-parametric test used to assess whether two or more samples each consisting of frequency data (nominal data) differ significantly from each other.

  chi square or chi square test of independence ( two headed arrow and NON PARAMETRIC)
• tool used

  cross tabulation or contingency table
• 5 = DL NA CLERK ANG TRABAHO

  28 = REG NA CLERK

  33 = TOTAL CLERKS

  42 = DL NA MANAGERIAL

  10 = REG NA MANAGERIAL

  52 = TOTAL MANAGERIAL

  EXPECTED COUNT - KAPAG MATAAS O SOBRANG BABA, SIGNS NA MAY DEPENDENCE O RELATION ANG VARIABLES SA ISAT ISA. PERO KAPAG DIKIT, NO RELATION. AUTOMATIC LUMALABAS

  EX. 5 DL NA CLERK SA 18.2 NA EXPECTED, MALAYO = GOODS = POSSIBLE NA MAY RELASYON

  %WITHIN NATURE OF WORK = 

  EX. 5/33 X 100 = 15.2% NA CLERK AY DL

  EX. 80.8% NG MANAGERIAL AY DL

  %WITHIN ACAD STANDING =

  EX. 5/47 DL TOTAL X 100 = 10.6% 

  
• lakas ng relationship of two variables (2 categories)

  phi ang rereport
• lakas ng relationship of two variables (3 or more categories)

  cramer's v ang rereport
• descriptors of effect size by

  jacob cohen, 1988
• .10 - .29 cohen descriptor

  small effect size
• .30 - .49 cohen descriptor

  medium effect size
• .50 above cohen descriptor

  large effect size
• descriptors of association

  rea & parker, 1992
• .00 - .10 rea & parker descriptor

  negligible association
• .10 - .20 rea & parker descriptor

  weak association
• .20 - .40 rea & parker descriptor

  moderate association
• .40 - .60 rea & parker descriptor

  relatively strong association
• .60 - .80 rea & parker descriptor

  strong association
• .80 - .100 rea & parker descriptor

  very strong association
• Expected count

  = kapag mataas o sobrang baba may relasyon

  = kapag dikit lang walang relasyon